{"id":"https://openalex.org/W2031661668","doi":"https://doi.org/10.1109/cvpr.2010.5540025","title":"Simultaneous searching of globally optimal interacting surfaces with shape priors","display_name":"Simultaneous searching of globally optimal interacting surfaces with shape priors","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2031661668","doi":"https://doi.org/10.1109/cvpr.2010.5540025","mag":"2031661668"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108088410","display_name":"Qi Song","orcid":"https://orcid.org/0009-0007-1726-4263"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Song","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, IA, USA","Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044520965","display_name":"Xiaodong Wu","orcid":"https://orcid.org/0000-0001-9703-0326"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, IA, USA","Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074770403","display_name":"Yun-Long Liu","orcid":"https://orcid.org/0000-0001-9958-2757"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunlong Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, IA, USA","Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018836634","display_name":"Milan Sonka","orcid":"https://orcid.org/0000-0002-9613-9968"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milan Sonka","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, IA, USA","Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032968409","display_name":"Mona K. Garvin","orcid":"https://orcid.org/0000-0003-3299-3150"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mona Garvin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, IA, USA","Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering The University of Iowa Iowa City, IA-52242, USA","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":146.3286,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.99892325,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":null,"first_page":"2879","last_page":"2886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6616913080215454},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.546926736831665},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5301557183265686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061430335044861},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4828777611255646},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4443768560886383},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43697088956832886},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.435492604970932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40091246366500854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37608370184898376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3759163022041321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3623282313346863},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19959717988967896},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.12158346176147461},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.106305330991745}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6616913080215454},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.546926736831665},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5301557183265686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061430335044861},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4828777611255646},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4443768560886383},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43697088956832886},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.435492604970932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40091246366500854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37608370184898376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3759163022041321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3623282313346863},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19959717988967896},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12158346176147461},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.106305330991745}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2010.5540025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.294.4924","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.4924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.engineering.uiowa.edu/~qsong/sqcvpr2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1549946184","https://openalex.org/W1586988526","https://openalex.org/W2018377917","https://openalex.org/W2034143862","https://openalex.org/W2099610552","https://openalex.org/W2105811459","https://openalex.org/W2108036280","https://openalex.org/W2110593503","https://openalex.org/W2113042487","https://openalex.org/W2119300483","https://openalex.org/W2127318120","https://openalex.org/W2140502500","https://openalex.org/W2142425892","https://openalex.org/W2143516773","https://openalex.org/W2164774194","https://openalex.org/W2169527406","https://openalex.org/W2173414649","https://openalex.org/W3137241515","https://openalex.org/W3211330693","https://openalex.org/W6633064582","https://openalex.org/W6635139396","https://openalex.org/W6676608438"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2085259108","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Multiple":[0],"surface":[1],"searching":[2,33],"with":[3,34,105,134,157],"only":[4],"image":[5,148,151,154],"intensity":[6],"information":[7],"is":[8,47,52,68],"a":[9,26,35,56,97],"difficult":[10],"job":[11],"in":[12,23,100],"the":[13,76,81,118,128,170],"presence":[14],"of":[15,66,117,130,172],"high":[16],"noise":[17],"and":[18,114,153],"weak":[19],"edges.":[20],"We":[21,120],"present":[22],"this":[24],"paper":[25],"novel":[27],"method":[28,139],"for":[29,89],"globally":[30,86],"optimal":[31,87],"multi-surface":[32],"shape":[36,57,72,83,161],"prior":[37,73,162],"represented":[38],"by":[39,95],"convex":[40],"pairwise":[41],"energies.":[42],"A":[43,63],"3-D":[44],"graph-theoretic":[45],"framework":[46],"employed.":[48],"An":[49],"arc-weighted":[50],"graph":[51],"constructed":[53],"based":[54],"on":[55],"model":[58],"built":[59],"from":[60,80],"training":[61],"datasets.":[62],"wide":[64],"spectrum":[65],"constraints":[67],"then":[69],"incorporated.":[70],"The":[71,85],"term":[74],"penalizes":[75],"local":[77,113],"topological":[78],"change":[79],"original":[82],"model.":[84],"solution":[88],"multiple":[90,131],"surfaces":[91,133],"can":[92,126],"be":[93],"obtained":[94],"computing":[96],"maximum":[98],"flow":[99],"low-order":[101],"polynomial":[102],"time.":[103],"Compared":[104,156],"other":[106],"graph-based":[107],"methods,":[108],"our":[109,124,164,173],"approach":[110],"provides":[111],"more":[112],"flexible":[115],"control":[116],"shape.":[119],"also":[121],"prove":[122],"that":[123],"algorithm":[125],"handle":[127],"detection":[129],"crossing":[132],"no":[135],"shared":[136],"voxels.":[137],"Our":[138],"was":[140,166],"applied":[141],"to":[142],"several":[143],"application":[144],"problems,":[145],"including":[146],"medical":[147],"segmentation,":[149,152],"scenic":[150],"resizing.":[155],"results":[158],"without":[159],"using":[160],"information,":[163],"improvement":[165],"quite":[167],"impressive,":[168],"demonstrating":[169],"promise":[171],"method.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
